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Semantic model and optimization of creative processes at mathematical knowledge formation
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作者 Victor Egorovitch Firstov 《Natural Science》 2010年第8期915-922,共8页
The aim of this work is mathematical education through the knowledge system and mathematical modeling. A net model of formation of mathematical knowledge as a deductive theory is suggested here. Within this model the ... The aim of this work is mathematical education through the knowledge system and mathematical modeling. A net model of formation of mathematical knowledge as a deductive theory is suggested here. Within this model the formation of deductive theory is represented as the development of a certain informational space, the elements of which are structured in the form of the orientated semantic net. This net is properly metrized and characterized by a certain system of coverings. It allows injecting net optimization parameters, regulating qualitative aspects of knowledge system under consideration. To regulate the creative processes of the formation and realization of mathematical know- edge, stochastic model of formation deductive theory is suggested here in the form of branching Markovian process, which is realized in the corresponding informational space as a semantic net. According to this stochastic model we can get correct foundation of criterion of optimization creative processes that leads to “great main points” strategy (GMP-strategy) in the process of realization of the effective control in the research work in the sphere of mathematics and its applications. 展开更多
关键词 The Cybernetic Conception Optimization of CONTROL Quantitative And Qualitative information Measures modelling Intellectual Systems Neural Network mathematical Education The CONTROL of Pedagogical PROCESSES CREATIVE Pedagogics Cognitive And CREATIVE PROCESSES Informal Axiomatic Thery SEMANTIC NET NET Optimization Parameters The Topology of SEMANTIC NET Metrization The System of Coverings stochastic model of CREATIVE PROCESSES At The Formation of mathematical Knowledge Branching Markovian Process Great Main Points Strategy (GMP-Strategy) of The CREATIVE PROCESSES CONTROL Interdisciplinary Learning: Colorimetric Barycenter
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随机 Petri 网的瓶颈及其最大处理能力 被引量:1
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作者 王加存 姜胜兵 《火力与指挥控制》 CSCD 1997年第2期12-16,共5页
介绍了随机Petri网瓶颈的概念,给出了一般随机Petri网最大处理能力的数学模型,针对一类特殊结构的随机Petri网,导出了分析其最大处理能力和瓶颈的快速算法,最后给出了一个防空决策组织信息处理瓶颈与处理能力分析的... 介绍了随机Petri网瓶颈的概念,给出了一般随机Petri网最大处理能力的数学模型,针对一类特殊结构的随机Petri网,导出了分析其最大处理能力和瓶颈的快速算法,最后给出了一个防空决策组织信息处理瓶颈与处理能力分析的实例。 展开更多
关键词 随机petri 瓶颈 信息处理 指挥控制系统
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